The best career opportunities are in technology. One of the best opportunities is to be a data scientist. Every business needs to understand the data for their sector to make decisions. This makes a **data scientist** an invaluable asset for the foreseeable future and in many different industries.

However, there isn’t just one educational path that works for everybody who wants to become a data scientist. There are various degrees and institutions, so you must find the best path for your situation. This means exploring some of the options before you and understanding what degree you should choose and **how to get into Harvard** if that is your college of choice. In this article, we will explore the best degrees for getting a career in data science.

**1 – Statistics**

A **degree in statistics** is an excellent choice for those looking to become data scientists, as it provides a strong foundation in statistical theory and data analysis. With a degree in statistics, you’ll learn how to use statistical software and programming languages to manipulate and analyze data, as well as how to design experiments to collect meaningful data.

You’ll also learn about statistical inference, which involves making predictions about a population based on a sample of data.

Statistical theory is used in various industries, from healthcare and finance to marketing and sports. As a data scientist, you’ll use statistical methods to extract insights from data and make data-driven decisions. A degree in statistics will provide you with the skills and knowledge needed to excel in this field, making it an excellent choice for anyone interested in a career in data science.

**2 – Computer science**

Computer science studies computing, programming, and computation in correspondence with computer systems. With a degree in computer science, you’ll learn how to write code in programming languages like Python, R, and SQL, commonly used in data analysis. You’ll learn about algorithms and data structures essential for designing efficient and effective algorithms for processing large datasets.

It also teaches you how to build and deploy software systems, which can be essential skills in a data science career. You’ll learn how to design and develop software applications for data analysis and visualization, as well as how to use machine learning algorithms to build predictive models.

**3 – Mathematics**

A degree in mathematics can also be an excellent choice for those looking to become data scientists. Mathematics studies abstract structures, patterns, and relationships using numbers, symbols, and equations.

With a degree in mathematics, you’ll learn about calculus, linear algebra, probability theory, and other mathematical concepts used extensively in data science. You’ll also learn to apply mathematical theory to real-world problems, including data analysis, modeling, and optimization.

Mathematical theory is used in various industries, from finance and engineering to healthcare and social sciences. As a data scientist, you’ll use mathematical methods to extract insights from data and make data-driven decisions. This will make you an invaluable asset to many companies.